handshake

Associate Software Engineer, RLE

🇺🇸 San Francisco, US On-site Posted Apr 23, 2026
LocationSan Francisco, US
WorkplaceOn-site
LanguageEnglish
PostedApril 23, 2026
Last verifiedMay 15, 2026

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Key details
1 location, On-site
Current openings
45 active jobs
Original language
English
Source and freshness
Collected from public career pages and reviewed through JobGrid.eu source availability checks. Last verified: May 15, 2026.
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About Handshake

Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.

In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.

Why join Handshake now:

  • Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel

  • Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions

  • Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders

  • Build a massive, fast-growing business with billions in revenue

About Handshake AI

Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.

About the Role

We’re hiring an Associate Software Engineer to help build our Reinforcement Learning Environments (RLE) platform—the systems where frontier AI models learn to complete real-world work.

This is a hands-on, growth-oriented role where you’ll contribute to building core systems, learn quickly from senior engineers, and gain exposure to cutting-edge AI infrastructure.

Location: San Francisco, CA (in-office, 5 days/week)

What You’ll Do

  • Contribute to building RLE environments and supporting infrastructure

  • Implement features across backend systems and frontend interfaces

  • Work with senior engineers to improve system reliability and performance

  • Help build modular workflow domains (e.g., engineering, finance, legal)

  • Support data pipelines that power model training and evaluation

What We’re Looking For

  • 0–2 years of experience (internships or full-time) in software engineering

  • Familiarity with backend development and APIs

  • Working knowledge of ReactJS and TypeScript

  • Understanding of databases (e.g., PostgreSQL) and basic system design

  • Eagerness to learn and operate in fast-paced environments

Nice to Have

  • Exposure to cloud platforms (AWS, GCP)

  • Experience with data pipelines or ML-adjacent systems

  • Interest in AI/ML or simulation systems

What Success Looks Like

  • Ships reliable features that improve RLE functionality

  • Grows into owning small components independently

  • Contributes to faster iteration and better developer velocity

Perks

Handshake delivers benefits that help you feel supported—and thrive at work and in life.

The below benefits are for full-time US employees.

🎯 Ownership: Equity in a fast-growing company

💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching

🍼 Family Support: Paid parental leave, fertility benefits, parental coachin

💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend

📚 Growth: $2,000 learning stipend, ongoing development

💻 Office: Commuting support, free lunch, and gym in our SF office

🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days

🤝 Connection: Team outings & referral bonuses

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